Gsk (GSK) Receivables - Net (2009 - 2026)
Gsk (GSK) recorded Receivables - Net of $10.34 billion in the quarter ended Jun 30, 2026, up 5.9% from $9.77 billion a year earlier but down 1.1% from the prior quarter.
Gsk (GSK) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gsk reported Receivables - Net of $9.85 billion, up 12.7% from the prior year.
- Annual Receivables - Net has a five-year compound annual growth rate of 2.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $8.74 billion in the year ended Dec 31, 2024 (-4.9%), $9.19 billion in the year ended Dec 31, 2023 (+5.2%), $8.73 billion in the year ended Dec 31, 2022 (-19.3%) and $10.81 billion in the year ended Dec 31, 2021 (+21.1%).
- Quarterly Receivables - Net has ranged from $3.24 billion in the quarter ended Mar 31, 2022 to $10.82 billion in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for six consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 156.3% in the quarter ended Mar 31, 2023, against a decline of 63.8% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.46 billion (quarter ended Mar 31, 2026), $9.94 billion (quarter ended Dec 31, 2025) and $10.71 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn |
| 10 | Gsk | 100.33 Bn | 81.91 Bn | 8.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.34 Bn |
| Mar 31, 2026 | 10.46 Bn |
| Dec 31, 2025 | 9.94 Bn |
| Sep 30, 2025 | 10.71 Bn |
| Jun 30, 2025 | 9.77 Bn |
| Mar 31, 2025 | 8.89 Bn |
| Dec 31, 2024 | 8.77 Bn |
| Sep 30, 2024 | 9.59 Bn |
| Jun 30, 2024 | 9.16 Bn |
| Mar 31, 2024 | 8.67 Bn |
| Dec 31, 2023 | 9.17 Bn |
| Sep 30, 2023 | 10.82 Bn |
| Jun 30, 2023 | 8.48 Bn |
| Mar 31, 2023 | 8.31 Bn |
| Dec 31, 2022 | 8.27 Bn |
| Sep 30, 2022 | 8.85 Bn |
| Jun 30, 2022 | 8.13 Bn |
| Mar 31, 2022 | 3.24 Bn |
| Dec 31, 2021 | 10.60 Bn |
| Sep 30, 2021 | 10.61 Bn |
Gsk Receivables - Net API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables-net&ticker=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "GSK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();